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EarSketch helps you learn core topics in computer science, music, and music technology in a fun, engaging environment. You learn to code in Python or JavaScript, two of the most popular programming languages in the world, while manipulating loops, composing beats, and applying effects to a multi-track digital audio workstation. To learn more about EarSketch, visit http://earsketch.gatech.edu.

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This music was generated by the following code:

#		python code
#		script_name:
#
#		author:
#		description:
#
#       Setup
from earsketch import *

init()
setTempo(120)
#       Music
chord = RD_UK_HOUSE__5THCHORD_2
secondaryBeat = HIPHOP_BASSSUB_001
mainBeat = HOUSE_MAIN_BEAT_003

fitMedia(chord, 1, 1, 16)

#       Add effect from 1 to 16: from -60db to 5 db
setEffect(1, VOLUME, GAIN, -60, 1, 5, 12)
setEffect(1, VOLUME, GAIN, 5, 12, -60, 16)

fitMedia(secondaryBeat, 2, 1, 12)
#       Add effect
setEffect(2, DELAY, DELAY_TIME, 500)
fitMedia(mainBeat, 3, 1, 8)
#       Add effect
setEffect(3, REVERB, REVERB_TIME, 200)

#       Finish
finish()


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To load this track in EarSketch, visit https://earsketch.gatech.edu/earsketch2/?sharing=hIoCMFV3-dlXPI71dTKCKQ

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demo1.py

Beginner vocalist. So songs contain false notes. Voice type alto. Preferred genres: folk, rock, metal, intelligent pop. 

Misty Forest Nymph